Evidence map›Paper›PMID 34393981›Full record

ArticleFrontiers in neurology2021

Epilepsy Personal Assistant Device-A Mobile Platform for Brain State, Dense Behavioral and Physiology Tracking and Controlling Adaptive Stimulation.

Tal Pal Attia, Daniel Crepeau, Vaclav Kremen, Mona Nasseri, Hari Guragain, Steven W Steele, Vladimir Sladky, Petr Nejedly, Filip Mivalt, Jeffrey A Herron and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  8. Development and Evaluation of a Real-Time Phase-Triggered Stimulation Algorithm for the CorTec Brain Interchange.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2024
    Article
  9. Impedance Rhythms in Human Limbic System.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  10. Signatures of Electrical Stimulation Driven Network Interactions in the Human Limbic System.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 7 institutions in 3 countries.

Tal Pal AttiaBioelectronics Neurophysiology and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
Daniel CrepeauBioelectronics Neurophysiology and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
Vaclav KremenBioelectronics Neurophysiology and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
Mona NasseriBioelectronics Neurophysiology and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
Hari GuragainBioelectronics Neurophysiology and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
Steven W SteeleDivision of Engineering, Mayo Clinic, Rochester, MN, United States.
Vladimir SladkyBioelectronics Neurophysiology and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
Petr NejedlyBioelectronics Neurophysiology and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
Filip MivaltBioelectronics Neurophysiology and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
Jeffrey A HerronDepartment of Neurological Surgery, University of Washington, Seattle, WA, United States.
Matt SteadBioelectronics Neurophysiology and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
Timothy DenisonEngineering Sciences and Clinical Neurosciences, Oxford University, Oxford, United Kingdom.
Gregory A WorrellBioelectronics Neurophysiology and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
Benjamin H BrinkmannBioelectronics Neurophysiology and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
Mayo Clinic · USBioElectronics (United States) · USMayo Clinic in Florida · USNeurological Surgery · USScience Oxford · GBUniversity of North Florida · USWinnMed · US

Funding

Reliable Seizure Prediction Using Physiological Signals and Machine LearningR01NS092882 · NINDS · MAYO CLINIC ROCHESTER · PI Gregory A Worrell · 2015 to 2026
$5.7M
Thalamic stimulation to prevent impaired consciousness in epilepsyUH3NS112826 · NINDS · YALE UNIVERSITY · PI BLUMENFELD, HAL · 2021 to 2023
$5.4M
Neurophysiologically Based Brain State Tracking & Modulation in Focal EpilepsyUH3NS095495 · NINDS · MAYO CLINIC ROCHESTER · PI WORRELL, GREGORY A · 2019 to 2021
$2.8M
NINDS NIH HHS R01 NS092882NINDS NIH HHS UH3 NS095495NINDS NIH HHS UH3 NS112826
6 · The paper itself

Abstract

Epilepsy is one of the most common neurological disorders, and it affects almost 1% of the population worldwide. Many people living with epilepsy continue to have seizures despite anti-epileptic medication therapy, surgical treatments, and neuromodulation therapy. The unpredictability of seizures is one of the most disabling aspects of epilepsy. Furthermore, epilepsy is associated with sleep, cognitive, and psychiatric comorbidities, which significantly impact the quality of life. Seizure predictions could potentially be used to adjust neuromodulation therapy to prevent the onset of a seizure and empower patients to avoid sensitive activities during high-risk periods. Long-term objective data is needed to provide a clearer view of brain electrical activity and an objective measure of the efficacy of therapeutic measures for optimal epilepsy care. While neuromodulation devices offer the potential for acquiring long-term data, available devices provide very little information regarding brain activity and therapy effectiveness. Also, seizure diaries kept by patients or caregivers are subjective and have been shown to be unreliable, in particular for patients with memory-impairing seizures. This paper describes the design, architecture, and development of the Mayo Epilepsy Personal Assistant Device (EPAD). The EPAD has bi-directional connectivity to the implanted investigational Medtronic Summit RC+S

Indexed as

deep brain stimulationepilepsyimplantable devicesneuromodulationseizure detectionseizure predictionwearables

Identifiers

PMID34393981
PMCPMC8358117
OpenAlexW3183795358

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.